scholarly journals Orientional disorder in monomethyl-quinacridone investigated by Rietveld refinement, pair distribution function analysis and lattice-energy minimisations

2019 ◽  
Vol 75 (a2) ◽  
pp. e343-e343
Author(s):  
Martin U. Schmidt ◽  
Carina Schlesinger ◽  
Sonja M. Hammer
RSC Advances ◽  
2016 ◽  
Vol 6 (24) ◽  
pp. 19903-19909 ◽  
Author(s):  
M. P. Attfield ◽  
M. Feygenson ◽  
J. C. Neuefeind ◽  
T. E. Proffen ◽  
T. C. A. Lucas ◽  
...  

Combined Rietveld refinement and pair distribution function analysis of total neutron scattering data unveils the finer details of the negative thermal expansion mechanism of siliceous faujasite.


Author(s):  
Carina Schlesinger ◽  
Sonja M. Hammer ◽  
Tatiana E. Gorelik ◽  
Martin U. Schmidt

The crystal structure of the organic pigment 2-monomethyl-quinacridone (Pigment Red 192, C21H14N2O2) was solved from X-ray powder diffraction data. The resulting average structure is described in space group P\overline 1, Z = 1 with the molecule on the inversion centre. The molecules are arranged in chains. The molecules, which have no inversion symmetry, show orientational head-to-tail disorder. In the average structure, the methyl group is disordered and found on both ends of the molecule with an occupancy of 0.5 each. The disorder and the local structure were investigated using various ordered structural models. All models were analysed by three approaches: Rietveld refinement, structure refinement to the pair distribution function (PDF) and lattice-energy minimization. All refinements converged well. The Rietveld refinement provided the average structure and gave no indication of a long-range ordering. The refinement to the PDF turned out to be very sensitive to small structural details, giving insight into the local structure. The lattice-energy minimizations revealed a significantly preferred local ordering of neighbouring molecules along the [0\bar 11] direction. In conclusion, all methods indicate a statistical orientational disorder with a preferred parallel orientation of molecules in one direction. Additionally, electron diffraction revealed twinning and faint diffuse scattering.


2020 ◽  
Author(s):  
Anuradha Pallipurath ◽  
Francesco Civati ◽  
Jonathan Skelton ◽  
Dean Keeble ◽  
Clare Crowley ◽  
...  

X-ray pair distribution function analysis is used with first-principles molecular dynamics simulations to study the co-operative H<sub>2</sub>O binding, structural dynamics and host-guest interactions in the channel hydrate of diflunisal.


2020 ◽  
Author(s):  
Adam Sapnik ◽  
Duncan Johnstone ◽  
Sean M. Collins ◽  
Giorgio Divitini ◽  
Alice Bumstead ◽  
...  

<p>Defect engineering is a powerful tool that can be used to tailor the properties of metal–organic frameworks (MOFs). Here, we incorporate defects through ball milling to systematically vary the porosity of the giant pore MOF, MIL-100 (Fe). We show that milling leads to the breaking of metal–linker bonds, generating more coordinatively unsaturated metal sites, and ultimately causes amorphisation. Pair distribution function analysis shows the hierarchical local structure is partially</p><p>retained, even in the amorphised material. We find that the solvent toluene stabilises the MIL-100 (Fe) framework against collapse and leads to a substantial rentention of porosity over the non-stabilised material.</p>


2021 ◽  
Vol 56 (9) ◽  
pp. 5637-5657
Author(s):  
Emily T. Nienhuis ◽  
Manzila Tuheen ◽  
Jincheng Du ◽  
John S. McCloy

2021 ◽  
Vol 50 (14) ◽  
pp. 5011-5022 ◽  
Author(s):  
Adam F. Sapnik ◽  
Duncan N. Johnstone ◽  
Sean M. Collins ◽  
Giorgio Divitini ◽  
Alice M. Bumstead ◽  
...  

Defect engineering is used to augment the porosity of MIL-100. Incorporation of defects leads to structural collapse and ultimately causes amorphisation. Pair distribution function analysis reveals a stepwise collapse of the hierarchical structure.


2020 ◽  
Vol 2 (6) ◽  
pp. 2234-2254 ◽  
Author(s):  
Troels Lindahl Christiansen ◽  
Susan R. Cooper ◽  
Kirsten M. Ø. Jensen

We review the use of pair distribution function analysis for characterization of atomic structure in nanomaterials.


Sign in / Sign up

Export Citation Format

Share Document